1
|
Scherer NM, Maurel C, Graus MS, McAlary L, Richter G, Radford RAW, Hogan A, Don EK, Lee A, Yerbury J, Francois M, Chung RS, Morsch M. RNA-binding properties orchestrate TDP-43 homeostasis through condensate formation in vivo. Nucleic Acids Res 2024:gkae112. [PMID: 38381071 DOI: 10.1093/nar/gkae112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 01/12/2024] [Accepted: 02/06/2024] [Indexed: 02/22/2024] Open
Abstract
Insoluble cytoplasmic aggregate formation of the RNA-binding protein TDP-43 is a major hallmark of neurodegenerative diseases including Amyotrophic Lateral Sclerosis. TDP-43 localizes predominantly in the nucleus, arranging itself into dynamic condensates through liquid-liquid phase separation (LLPS). Mutations and post-translational modifications can alter the condensation properties of TDP-43, contributing to the transition of liquid-like biomolecular condensates into solid-like aggregates. However, to date it has been a challenge to study the dynamics of this process in vivo. We demonstrate through live imaging that human TDP-43 undergoes nuclear condensation in spinal motor neurons in a living animal. RNA-binding deficiencies as well as post-translational modifications can lead to aberrant condensation and altered TDP-43 compartmentalization. Single-molecule tracking revealed an altered mobility profile for RNA-binding deficient TDP-43. Overall, these results provide a critically needed in vivo characterization of TDP-43 condensation, demonstrate phase separation as an important regulatory mechanism of TDP-43 accessibility, and identify a molecular mechanism of how functional TDP-43 can be regulated.
Collapse
Affiliation(s)
- Natalie M Scherer
- Faculty of Medicine, Health & Human Sciences, Macquarie Medical School, MND Research Centre, Macquarie University, Sydney, NSW 2109, Australia
| | - Cindy Maurel
- Faculty of Medicine, Health & Human Sciences, Macquarie Medical School, MND Research Centre, Macquarie University, Sydney, NSW 2109, Australia
| | - Matthew S Graus
- The David Richmond Laboratory for Cardio-Vascular Development: gene regulation and editing, Centenary Institute, The University of Sydney, School of Medical Sciences, Sydney, NSW 2006, Australia
- Genome Imaging Centre, Centenary Institute, The University of Sydney, Sydney, NSW 2006, Australia
| | - Luke McAlary
- Molecular Horizons and School of Chemistry and Molecular Bioscience, University of Wollongong, Wollongong, NSW 2522, Australia
| | - Grant Richter
- Faculty of Medicine, Health & Human Sciences, Macquarie Medical School, MND Research Centre, Macquarie University, Sydney, NSW 2109, Australia
| | - Rowan A W Radford
- Faculty of Medicine, Health & Human Sciences, Macquarie Medical School, MND Research Centre, Macquarie University, Sydney, NSW 2109, Australia
| | - Alison Hogan
- Faculty of Medicine, Health & Human Sciences, Macquarie Medical School, MND Research Centre, Macquarie University, Sydney, NSW 2109, Australia
| | - Emily K Don
- Faculty of Medicine, Health & Human Sciences, Macquarie Medical School, MND Research Centre, Macquarie University, Sydney, NSW 2109, Australia
| | - Albert Lee
- Faculty of Medicine, Health & Human Sciences, Macquarie Medical School, MND Research Centre, Macquarie University, Sydney, NSW 2109, Australia
| | - Justin Yerbury
- Molecular Horizons and School of Chemistry and Molecular Bioscience, University of Wollongong, Wollongong, NSW 2522, Australia
| | - Mathias Francois
- The David Richmond Laboratory for Cardio-Vascular Development: gene regulation and editing, Centenary Institute, The University of Sydney, School of Medical Sciences, Sydney, NSW 2006, Australia
- Genome Imaging Centre, Centenary Institute, The University of Sydney, Sydney, NSW 2006, Australia
| | - Roger S Chung
- Faculty of Medicine, Health & Human Sciences, Macquarie Medical School, MND Research Centre, Macquarie University, Sydney, NSW 2109, Australia
| | - Marco Morsch
- Faculty of Medicine, Health & Human Sciences, Macquarie Medical School, MND Research Centre, Macquarie University, Sydney, NSW 2109, Australia
| |
Collapse
|
2
|
Weng M, Hu H, Graus MS, Tan DS, Gao Y, Ren S, Ho DHH, Langer J, Holzner M, Huang Y, Ling GS, Lai CSW, Francois M, Jauch R. An engineered Sox17 induces somatic to neural stem cell fate transitions independently from pluripotency reprogramming. Sci Adv 2023; 9:eadh2501. [PMID: 37611093 PMCID: PMC10446497 DOI: 10.1126/sciadv.adh2501] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 07/21/2023] [Indexed: 08/25/2023]
Abstract
Advanced strategies to interconvert cell types provide promising avenues to model cellular pathologies and to develop therapies for neurological disorders. Yet, methods to directly transdifferentiate somatic cells into multipotent induced neural stem cells (iNSCs) are slow and inefficient, and it is unclear whether cells pass through a pluripotent state with full epigenetic reset. We report iNSC reprogramming from embryonic and aged mouse fibroblasts as well as from human blood using an engineered Sox17 (eSox17FNV). eSox17FNV efficiently drives iNSC reprogramming while Sox2 or Sox17 fail. eSox17FNV acquires the capacity to bind different protein partners on regulatory DNA to scan the genome more efficiently and has a more potent transactivation domain than Sox2. Lineage tracing and time-resolved transcriptomics show that emerging iNSCs do not transit through a pluripotent state. Our work distinguishes lineage from pluripotency reprogramming with the potential to generate more authentic cell models for aging-associated neurodegenerative diseases.
Collapse
Affiliation(s)
- Mingxi Weng
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Center for Translational Stem Cell Biology, Hong Kong SAR, China
| | - Haoqing Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Matthew S. Graus
- The David Richmond Laboratory for Cardiovascular Development: Gene Regulation and Editing Program, The Centenary Institute, Camperdown, NSW 2006, Australia
- Genome Imaging Centre, The Centenary Institute, Camperdown, NSW 2006, Australia
| | - Daisylyn Senna Tan
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ya Gao
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Shimiao Ren
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Derek Hoi Hang Ho
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Center for Translational Stem Cell Biology, Hong Kong SAR, China
| | - Jakob Langer
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Markus Holzner
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yuhua Huang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Guang Sheng Ling
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Cora Sau Wan Lai
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- State Key Laboratory of Cognitive and Brain Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Mathias Francois
- The David Richmond Laboratory for Cardiovascular Development: Gene Regulation and Editing Program, The Centenary Institute, Camperdown, NSW 2006, Australia
- Genome Imaging Centre, The Centenary Institute, Camperdown, NSW 2006, Australia
- The University of Sydney, School of Medical Sciences, Camperdown, NSW 2006, Australia
| | - Ralf Jauch
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Center for Translational Stem Cell Biology, Hong Kong SAR, China
| |
Collapse
|
3
|
Chiang IKN, Graus MS, Kirschnick N, Davidson T, Luu W, Harwood R, Jiang K, Li B, Wong YY, Moustaqil M, Lesieur E, Skoczylas R, Kouskoff V, Kazenwadel J, Arriola‐Martinez L, Sierecki E, Gambin Y, Alitalo K, Kiefer F, Harvey NL, Francois M. The blood vasculature instructs lymphatic patterning in a SOX7-dependent manner. EMBO J 2023; 42:e109032. [PMID: 36715213 PMCID: PMC9975944 DOI: 10.15252/embj.2021109032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 12/15/2022] [Accepted: 12/22/2022] [Indexed: 01/31/2023] Open
Abstract
Despite a growing catalog of secreted factors critical for lymphatic network assembly, little is known about the mechanisms that modulate the expression level of these molecular cues in blood vascular endothelial cells (BECs). Here, we show that a BEC-specific transcription factor, SOX7, plays a crucial role in a non-cell-autonomous manner by modulating the transcription of angiocrine signals to pattern lymphatic vessels. While SOX7 is not expressed in lymphatic endothelial cells (LECs), the conditional loss of SOX7 function in mouse embryos causes a dysmorphic dermal lymphatic phenotype. We identify novel distant regulatory regions in mice and humans that contribute to directly repressing the transcription of a major lymphangiogenic growth factor (Vegfc) in a SOX7-dependent manner. Further, we show that SOX7 directly binds HEY1, a canonical repressor of the Notch pathway, suggesting that transcriptional repression may also be modulated by the recruitment of this protein partner at Vegfc genomic regulatory regions. Our work unveils a role for SOX7 in modulating downstream signaling events crucial for lymphatic patterning, at least in part via the transcriptional repression of VEGFC levels in the blood vascular endothelium.
Collapse
Affiliation(s)
- Ivy K N Chiang
- The Centenary Institute, David Richmond Program for Cardio‐Vascular Research: Gene Regulation and Editing, Sydney Medical SchoolUniversity of SydneySydneyNSWAustralia
| | - Matthew S Graus
- The Centenary Institute, David Richmond Program for Cardio‐Vascular Research: Gene Regulation and Editing, Sydney Medical SchoolUniversity of SydneySydneyNSWAustralia
| | - Nils Kirschnick
- European Institute for Molecular Imaging (EIMI)University of MünsterMünsterGermany
| | - Tara Davidson
- The Centenary Institute, David Richmond Program for Cardio‐Vascular Research: Gene Regulation and Editing, Sydney Medical SchoolUniversity of SydneySydneyNSWAustralia
| | - Winnie Luu
- The Centenary Institute, David Richmond Program for Cardio‐Vascular Research: Gene Regulation and Editing, Sydney Medical SchoolUniversity of SydneySydneyNSWAustralia
| | - Richard Harwood
- Sydney Microscopy and MicroanalysisUniversity of SydneySydneyNSWAustralia
| | - Keyi Jiang
- The Centenary Institute, David Richmond Program for Cardio‐Vascular Research: Gene Regulation and Editing, Sydney Medical SchoolUniversity of SydneySydneyNSWAustralia
| | - Bitong Li
- The Centenary Institute, David Richmond Program for Cardio‐Vascular Research: Gene Regulation and Editing, Sydney Medical SchoolUniversity of SydneySydneyNSWAustralia
| | - Yew Yan Wong
- The Genome Imaging CenterThe Centenary InstituteSydneyNSWAustralia
| | - Mehdi Moustaqil
- EMBL Australia Node in Single Molecule Science, and School of Medical SciencesUniversity of New South WalesSydneyNSWAustralia
| | - Emmanuelle Lesieur
- Institute for Molecular BioscienceThe University of QueenslandSt. LuciaQLDAustralia
| | - Renae Skoczylas
- Institute for Molecular BioscienceThe University of QueenslandSt. LuciaQLDAustralia
| | - Valerie Kouskoff
- Division of Developmental Biology & MedicineThe University of ManchesterManchesterUK
| | - Jan Kazenwadel
- Centre for Cancer BiologyUniversity of South Australia and SA PathologyAdelaideSAAustralia
| | - Luis Arriola‐Martinez
- Centre for Cancer BiologyUniversity of South Australia and SA PathologyAdelaideSAAustralia
| | - Emma Sierecki
- EMBL Australia Node in Single Molecule Science, and School of Medical SciencesUniversity of New South WalesSydneyNSWAustralia
| | - Yann Gambin
- EMBL Australia Node in Single Molecule Science, and School of Medical SciencesUniversity of New South WalesSydneyNSWAustralia
| | - Kari Alitalo
- Wihuri Research Institute and Translational Cancer Medicine Program, Faculty of MedicineUniversity of HelsinkiHelsinkiFinland
| | - Friedmann Kiefer
- European Institute for Molecular Imaging (EIMI)University of MünsterMünsterGermany
| | - Natasha L Harvey
- Centre for Cancer BiologyUniversity of South Australia and SA PathologyAdelaideSAAustralia
| | - Mathias Francois
- The Centenary Institute, David Richmond Program for Cardio‐Vascular Research: Gene Regulation and Editing, Sydney Medical SchoolUniversity of SydneySydneyNSWAustralia
- The Genome Imaging CenterThe Centenary InstituteSydneyNSWAustralia
| |
Collapse
|
4
|
Seebauer CT, Graus MS, Huang L, McCann AJ, Wylie-Sears J, Fontaine FR, Karnezis T, Zurakowski D, Staffa SJ, Meunier FA, Mulliken JB, Bischoff J, Francois M. Non-β-blocker enantiomers of propranolol and atenolol inhibit vasculogenesis in infantile hemangioma. J Clin Invest 2021; 132:151109. [PMID: 34874911 PMCID: PMC8803322 DOI: 10.1172/jci151109] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 12/02/2021] [Indexed: 12/02/2022] Open
Abstract
Propranolol and atenolol, current therapies for problematic infantile hemangioma (IH), are composed of R(+) and S(–) enantiomers: the R(+) enantiomer is largely devoid of beta blocker activity. We investigated the effect of R(+) enantiomers of propranolol and atenolol on the formation of IH-like blood vessels from hemangioma stem cells (HemSCs) in a murine xenograft model. Both R(+) enantiomers inhibited HemSC vessel formation in vivo. In vitro, similar to R(+) propranolol, both atenolol and its R(+) enantiomer inhibited HemSC to endothelial cell differentiation. As our previous work implicated the transcription factor sex-determining region Y (SRY) box transcription factor 18 (SOX18) in propranolol-mediated inhibition of HemSC to endothelial differentiation, we tested in parallel a known SOX18 small-molecule inhibitor (Sm4) and show that this compound inhibited HemSC vessel formation in vivo with efficacy similar to that seen with the R(+) enantiomers. We next examined how R(+) propranolol alters SOX18 transcriptional activity. Using a suite of biochemical, biophysical, and quantitative molecular imaging assays, we show that R(+) propranolol directly interfered with SOX18 target gene trans-activation, disrupted SOX18-chromatin binding dynamics, and reduced SOX18 dimer formation. We propose that the R(+) enantiomers of widely used beta blockers could be repurposed to increase the efficiency of current IH treatment and lower adverse associated side effects.
Collapse
Affiliation(s)
- Caroline T Seebauer
- Department of Surgery, Boston Children's Hospital and Harvard Medical School, Boston, United States of America
| | - Matthew S Graus
- David Richmond Laboratory for Cardiovascular Development, University of Sydney, Sydney, Australia
| | - Lan Huang
- Department of Surgery, Boston Children's Hospital and Harvard Medical School, Boston, United States of America
| | - Alex J McCann
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Jill Wylie-Sears
- Department of Surgery, Boston Children's Hospital and Harvard Medical School, Boston, United States of America
| | - Frank R Fontaine
- Gertrude Biomedical, Gertrude Biomedical Pty Ltd, Melbourne, Australia
| | - Tara Karnezis
- Gertrude Biomedical, Gertrude Biomedical Pty Ltd, Melbourne, Australia
| | - David Zurakowski
- Department of Anesthesiology, Boston Children's Hospital and Harvard Medical School, Boston, United States of America
| | - Steven J Staffa
- Department of Anesthesiology, Boston Children's Hospital and Harvard Medical School, Boston, United States of America
| | - Frédéric A Meunier
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - John B Mulliken
- Department of Surgery, Boston Children's Hospital and Harvard Medical School, Boston, United States of America
| | - Joyce Bischoff
- Department of Surgery, Boston Children's Hospital and Harvard Medical School, Boston, United States of America
| | - Mathias Francois
- David Richmond Laboratory for Cardiovascular Development, University of Sydney, Sydney, Australia
| |
Collapse
|
5
|
McCann AJ, Lou J, Moustaqil M, Graus MS, Blum A, Fontaine F, Liu H, Luu W, Rudolffi-Soto P, Koopman P, Sierecki E, Gambin Y, Meunier FA, Liu Z, Hinde E, Francois M. A dominant-negative SOX18 mutant disrupts multiple regulatory layers essential to transcription factor activity. Nucleic Acids Res 2021; 49:10931-10955. [PMID: 34570228 PMCID: PMC8565327 DOI: 10.1093/nar/gkab820] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 08/18/2021] [Accepted: 09/08/2021] [Indexed: 11/17/2022] Open
Abstract
Few genetically dominant mutations involved in human disease have been fully explained at the molecular level. In cases where the mutant gene encodes a transcription factor, the dominant-negative mode of action of the mutant protein is particularly poorly understood. Here, we studied the genome-wide mechanism underlying a dominant-negative form of the SOX18 transcription factor (SOX18RaOp) responsible for both the classical mouse mutant Ragged Opossum and the human genetic disorder Hypotrichosis-lymphedema-telangiectasia-renal defect syndrome. Combining three single-molecule imaging assays in living cells together with genomics and proteomics analysis, we found that SOX18RaOp disrupts the system through an accumulation of molecular interferences which impair several functional properties of the wild-type SOX18 protein, including its target gene selection process. The dominant-negative effect is further amplified by poisoning the interactome of its wild-type counterpart, which perturbs regulatory nodes such as SOX7 and MEF2C. Our findings explain in unprecedented detail the multi-layered process that underpins the molecular aetiology of dominant-negative transcription factor function.
Collapse
Affiliation(s)
- Alex J McCann
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Jieqiong Lou
- School of Physics, Department of Biochemistry and Molecular Biology, Bio21, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Mehdi Moustaqil
- EMBL Australia Node in Single Molecule Science and School of Medical Sciences, The University of New South Wales, Sydney, NSW 1466, Australia
| | - Matthew S Graus
- The David Richmond Laboratory for Cardio-Vascular Development: gene regulation and editing, The Centenary Institute, Newtown, Sydney, NSW 2006, Australia
| | - Ailisa Blum
- Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Frank Fontaine
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Hui Liu
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, United States
| | - Winnie Luu
- The David Richmond Laboratory for Cardio-Vascular Development: gene regulation and editing, The Centenary Institute, Newtown, Sydney, NSW 2006, Australia
| | - Paulina Rudolffi-Soto
- EMBL Australia Node in Single Molecule Science and School of Medical Sciences, The University of New South Wales, Sydney, NSW 1466, Australia
| | - Peter Koopman
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Emma Sierecki
- EMBL Australia Node in Single Molecule Science and School of Medical Sciences, The University of New South Wales, Sydney, NSW 1466, Australia
| | - Yann Gambin
- EMBL Australia Node in Single Molecule Science and School of Medical Sciences, The University of New South Wales, Sydney, NSW 1466, Australia
| | - Frédéric A Meunier
- Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Zhe Liu
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, United States
| | - Elizabeth Hinde
- School of Physics, Department of Biochemistry and Molecular Biology, Bio21, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Mathias Francois
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.,The David Richmond Laboratory for Cardio-Vascular Development: gene regulation and editing, The Centenary Institute, Newtown, Sydney, NSW 2006, Australia.,School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| |
Collapse
|
6
|
Feher K, Graus MS, Coelho S, Farrell MV, Goyette J, Gaus K. K-Neighbourhood Analysis: A Method for Understanding SMLM Images as Compositions of Local Neighbourhoods. Front Bioinform 2021; 1:724127. [PMID: 36303786 PMCID: PMC9581049 DOI: 10.3389/fbinf.2021.724127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Accepted: 10/04/2021] [Indexed: 11/30/2022] Open
Abstract
Single molecule localisation microscopy (SMLM) is a powerful tool that has revealed the spatial arrangement of cell surface signalling proteins, producing data of enormous complexity. The complexity is partly driven by the convolution of technical and biological signal components, and partly by the challenge of pooling information across many distinct cells. To address these two particular challenges, we have devised a novel algorithm called K-neighbourhood analysis (KNA), which emphasises the fact that each image can also be viewed as a composition of local neighbourhoods. KNA is based on a novel transformation, spatial neighbourhood principal component analysis (SNPCA), which is defined by the PCA of the normalised K-nearest neighbour vectors of a spatially random point pattern. Here, we use KNA to define a novel visualisation of individual images, to compare within and between groups of images and to investigate the preferential patterns of phosphorylation. This methodology is also highly flexible and can be used to augment existing clustering methods by providing clustering diagnostics as well as revealing substructure within microclusters. In summary, we have presented a highly flexible analysis tool that presents new conceptual possibilities in the analysis of SMLM images.
Collapse
Affiliation(s)
- Kristen Feher
- School of Medical Sciences, EMBL Australia Node in Single Molecule Science, University of New South Wales, Kensington, NSW, Australia
- ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW, Australia
| | - Matthew S. Graus
- School of Medical Sciences, EMBL Australia Node in Single Molecule Science, University of New South Wales, Kensington, NSW, Australia
- ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW, Australia
| | - Simao Coelho
- School of Medical Sciences, EMBL Australia Node in Single Molecule Science, University of New South Wales, Kensington, NSW, Australia
- ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW, Australia
- Structural Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Megan V. Farrell
- School of Medical Sciences, EMBL Australia Node in Single Molecule Science, University of New South Wales, Kensington, NSW, Australia
- ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW, Australia
| | - Jesse Goyette
- School of Medical Sciences, EMBL Australia Node in Single Molecule Science, University of New South Wales, Kensington, NSW, Australia
- ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW, Australia
| | - Katharina Gaus
- School of Medical Sciences, EMBL Australia Node in Single Molecule Science, University of New South Wales, Kensington, NSW, Australia
- ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW, Australia
| |
Collapse
|
7
|
Sreenivasan VKA, Graus MS, Pillai RR, Yang Z, Goyette J, Gaus K. Influence of FRET and fluorescent protein maturation on the quantification of binding affinity with dual-channel fluorescence cross-correlation spectroscopy. Biomed Opt Express 2020; 11:6137-6153. [PMID: 33282480 PMCID: PMC7687962 DOI: 10.1364/boe.401056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 09/08/2020] [Accepted: 09/08/2020] [Indexed: 06/12/2023]
Abstract
Protein-protein interactions at the plasma membrane mediate transmembrane signaling. Dual-channel fluorescence cross-correlation spectroscopy (dc-FCCS) is a method with which these interactions can be quantified in a cellular context. However, factors such as incomplete maturation of fluorescent proteins, spectral crosstalk, and fluorescence resonance energy transfer (FRET) affect quantification. Some of these can be corrected or accounted for during data analysis and/or interpretation. Here, we experimentally and analytically demonstrate that it is difficult to correct the error caused due to FRET when applying dc-FCCS to measure binding affinity or bound molecular concentrations. Additionally, the presence of dark fluorescent proteins due to incomplete maturation introduces further errors, which too cannot be corrected in the presence of FRET. Based on simulations, we find that modalities such as pulse-interleaved excitation FCCS do not eliminate FRET-induced errors. Finally, we demonstrate that the detrimental effect of FRET can be eliminated with careful experimental design when applying dc-FCCS to quantify protein-protein interactions at the plasma membrane of living cells.
Collapse
Affiliation(s)
- Varun K A Sreenivasan
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney 2052, Australia
| | - Matthew S Graus
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney 2052, Australia
| | - Rashmi R Pillai
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney 2052, Australia
| | - Zhengmin Yang
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney 2052, Australia
| | - Jesse Goyette
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney 2052, Australia
| | - Katharina Gaus
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney 2052, Australia
| |
Collapse
|
8
|
Coelho S, Baek J, Graus MS, Halstead JM, Nicovich PR, Feher K, Gandhi H, Gooding JJ, Gaus K. Ultraprecise single-molecule localization microscopy enables in situ distance measurements in intact cells. Sci Adv 2020; 6:eaay8271. [PMID: 32494604 PMCID: PMC7164934 DOI: 10.1126/sciadv.aay8271] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 01/23/2020] [Indexed: 05/24/2023]
Abstract
Single-molecule localization microscopy (SMLM) has the potential to quantify the diversity in spatial arrangements of molecules in intact cells. However, this requires that the single-molecule emitters are localized with ultrahigh precision irrespective of the sample format and the length of the data acquisition. We advance SMLM to enable direct distance measurements between molecules in intact cells on the scale between 1 and 20 nm. Our actively stabilized microscope combines three-dimensional real-time drift corrections and achieves a stabilization of <1 nm and localization precision of ~1 nm. To demonstrate the biological applicability of the new microscope, we show a 4- to 7-nm difference in spatial separations between signaling T cell receptors and phosphatases (CD45) in active and resting T cells. In summary, by overcoming the major bottlenecks in SMLM imaging, it is possible to generate molecular images with nanometer accuracy and conduct distance measurements on the biological relevant length scales.
Collapse
Affiliation(s)
- Simao Coelho
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, New South Wales, Australia
| | - Jongho Baek
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, New South Wales, Australia
| | - Matthew S. Graus
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, New South Wales, Australia
| | - James M. Halstead
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, New South Wales, Australia
| | | | - Kristen Feher
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, New South Wales, Australia
| | - Hetvi Gandhi
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, New South Wales, Australia
| | - J. Justin Gooding
- School of Chemistry, Australian Centre for NanoMedicine and the ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, University of New South Wales, Sydney, New South Wales, Australia
| | - Katharina Gaus
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, New South Wales, Australia
| |
Collapse
|
9
|
Graus MS, Wester MJ, Lowman DW, Williams DL, Kruppa MD, Martinez CM, Young JM, Pappas HC, Lidke KA, Neumann AK. Mannan Molecular Substructures Control Nanoscale Glucan Exposure in Candida. Cell Rep 2020; 24:2432-2442.e5. [PMID: 30157435 DOI: 10.1016/j.celrep.2018.07.088] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Revised: 07/05/2018] [Accepted: 07/27/2018] [Indexed: 12/26/2022] Open
Abstract
Cell wall mannans of Candida albicans mask β-(1,3)-glucan from recognition by Dectin-1, contributing to innate immune evasion. Glucan exposures are predominantly single receptor-ligand interaction sites of nanoscale dimensions. Candida species vary in basal glucan exposure and molecular complexity of mannans. We used super-resolution fluorescence imaging and a series of protein mannosylation mutants in C. albicans and C. glabrata to investigate the role of specific N-mannan features in regulating the nanoscale geometry of glucan exposure. Decreasing acid labile mannan abundance and α-(1,6)-mannan backbone length correlated most strongly with increased density and nanoscopic size of glucan exposures in C. albicans and C. glabrata, respectively. Additionally, a C. albicans clinical isolate with high glucan exposure produced similarly perturbed N-mannan structures and elevated glucan exposure geometry. Thus, acid labile mannan structure influences the nanoscale features of glucan exposure, impacting the nature of the pathogenic surface that triggers immunoreceptor engagement, aggregation, and signaling.
Collapse
Affiliation(s)
- Matthew S Graus
- Department of Pathology, University of New Mexico, Albuquerque, NM 87131, USA
| | - Michael J Wester
- Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87131, USA
| | - Douglas W Lowman
- Center of Excellence in Inflammation, Infectious Disease and Immunity, Quillen College of Medicine, East Tennessee State University, Johnson City, TN 37684, USA; AppRidge International, LLC, Telford, TN 37690, USA
| | - David L Williams
- Center of Excellence in Inflammation, Infectious Disease and Immunity, Quillen College of Medicine, East Tennessee State University, Johnson City, TN 37684, USA; Department of Surgery, Quillen College of Medicine, East Tennessee State University, Johnson City, TN 37684, USA
| | - Michael D Kruppa
- Center of Excellence in Inflammation, Infectious Disease and Immunity, Quillen College of Medicine, East Tennessee State University, Johnson City, TN 37684, USA; Department of Biomedical Sciences, Quillen College of Medicine, East Tennessee State University, Johnson City, TN 37684, USA
| | - Carmen M Martinez
- Department of Pathology, University of New Mexico, Albuquerque, NM 87131, USA
| | - Jesse M Young
- Department of Pathology, University of New Mexico, Albuquerque, NM 87131, USA
| | - Harry C Pappas
- Department of Pathology, University of New Mexico, Albuquerque, NM 87131, USA
| | - Keith A Lidke
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM 87131, USA
| | - Aaron K Neumann
- Department of Pathology, University of New Mexico, Albuquerque, NM 87131, USA.
| |
Collapse
|
10
|
Graus MS, Neumann AK, Timlin JA. Hyperspectral fluorescence microscopy detects autofluorescent factors that can be exploited as a diagnostic method for Candida species differentiation. J Biomed Opt 2017; 22:16002. [PMID: 28056142 PMCID: PMC5216876 DOI: 10.1117/1.jbo.22.1.016002] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2016] [Accepted: 12/12/2016] [Indexed: 06/06/2023]
Abstract
Fungi in the Candida genus are the most common fungal pathogens. They not only cause high morbidity and mortality but can also cost billions of dollars in healthcare. To alleviate this burden, early and accurate identification of Candida species is necessary. However, standard identification procedures can take days and have a large false negative error. The method described in this study takes advantage of hyperspectral confocal fluorescence microscopy, which enables the capability to quickly and accurately identify and characterize the unique autofluorescence spectra from different Candida species with up to 84% accuracy when grown in conditions that closely mimic physiological conditions.
Collapse
Affiliation(s)
- Matthew S. Graus
- University of New Mexico, Department of Pathology, 1 University of New Mexico, MSC08 4640, Albuquerque, New Mexico 87131, United States
| | - Aaron K. Neumann
- University of New Mexico, Department of Pathology, 1 University of New Mexico, MSC08 4640, Albuquerque, New Mexico 87131, United States
| | - Jerilyn A. Timlin
- Sandia National Laboratories, Department of Bioenergy and Defense Technologies, P. O. Box 5800, MS 0895, Albuquerque, New Mexico 87185, United States
| |
Collapse
|
11
|
Neumann AK, Lin J, Wester MJ, Graus MS, Lidke KA. Nanoscopic Cell Wall Architecture of an Immunogenic Ligand in Candida Albicans during Antifungal Drug Treatment. Biophys J 2016. [DOI: 10.1016/j.bpj.2015.11.2585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
|
12
|
Lin J, Wester MJ, Graus MS, Lidke KA, Neumann AK. Nanoscopic cell-wall architecture of an immunogenic ligand in Candida albicans during antifungal drug treatment. Mol Biol Cell 2016; 27:1002-14. [PMID: 26792838 PMCID: PMC4791122 DOI: 10.1091/mbc.e15-06-0355] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Accepted: 01/12/2016] [Indexed: 12/25/2022] Open
Abstract
Candida albicans evades immunity by limiting cell-wall β-glucan exposure. dSTORM imaging reveals that “unmasking”of glucan by an antifungal drug occurs through nanoscale reorganization of glucan exposure geometry. Nanostructuring of glucan might play a role in innate immune activation and provides insights into the physical regulation of glucan exposure. The cell wall of Candida albicans is composed largely of polysaccharides. Here we focus on β-glucan, an immunogenic cell-wall polysaccharide whose surface exposure is often restricted, or “masked,” from immune recognition by Dectin-1 on dendritic cells (DCs) and other innate immune cells. Previous research suggested that the physical presentation geometry of β-glucan might determine whether it can be recognized by Dectin-1. We used direct stochastic optical reconstruction microscopy to explore the fine structure of β-glucan exposed on C. albicans cell walls before and after treatment with the antimycotic drug caspofungin, which alters glucan exposure. Most surface-accessible glucan on C. albicans yeast and hyphae is limited to isolated Dectin-1–binding sites. Caspofungin-induced unmasking caused approximately fourfold to sevenfold increase in total glucan exposure, accompanied by increased phagocytosis efficiency of DCs for unmasked yeasts. Nanoscopic imaging of caspofungin-unmasked C. albicans cell walls revealed that the increase in glucan exposure is due to increased density of glucan exposures and increased multiglucan exposure sizes. These findings reveal that glucan exhibits significant nanostructure, which is a previously unknown physical component of the host–Candida interaction that might change during antifungal chemotherapy and affect innate immune activation.
Collapse
Affiliation(s)
- Jia Lin
- Center for Spatiotemporal Modeling of Cell Signaling, University of New Mexico, Albuquerque, NM 87131 Department of Pathology, University of New Mexico, Albuquerque, NM 87131
| | - Michael J Wester
- Center for Spatiotemporal Modeling of Cell Signaling, University of New Mexico, Albuquerque, NM 87131 Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87131
| | - Matthew S Graus
- Center for Spatiotemporal Modeling of Cell Signaling, University of New Mexico, Albuquerque, NM 87131 Department of Pathology, University of New Mexico, Albuquerque, NM 87131
| | - Keith A Lidke
- Center for Spatiotemporal Modeling of Cell Signaling, University of New Mexico, Albuquerque, NM 87131 Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM 87131
| | - Aaron K Neumann
- Center for Spatiotemporal Modeling of Cell Signaling, University of New Mexico, Albuquerque, NM 87131 Department of Pathology, University of New Mexico, Albuquerque, NM 87131
| |
Collapse
|
13
|
Itano MS, Graus MS, Pehlke C, Wester MJ, Liu P, Lidke KA, Thompson NL, Jacobson K, Neumann AK. Super-resolution imaging of C-type lectin spatial rearrangement within the dendritic cell plasma membrane at fungal microbe contact sites. Front Phys 2014; 2:46. [PMID: 25506589 PMCID: PMC4262399 DOI: 10.3389/fphy.2014.00046] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Dendritic cells express DC-SIGN and CD206, C-type lectins (CTLs) that bind a variety of pathogens and may facilitate pathogen uptake for subsequent antigen presentation. Both proteins form punctate membrane nanodomains (∼80 nm) on naïve cells. We analyzed the spatiotemporal distribution of CTLs following host-fungal particle contact using confocal microscopy and three distinct methods of cluster identification and measurement of receptor clusters in super-resolution datasets: DBSCAN, Pair Correlation and a custom implementation of the Getis spatial statistic. Quantitative analysis of confocal and super-resolution images demonstrated that CTL nanodomains become concentrated in the contact site relative to non-contact membrane after the first hour of exposure and established that this recruitment is sustained out to 4 h. DC-SIGN nanodomains in fungal contact sites exhibit a 70% area increase and a 38% decrease in interdomain separation. Contact site CD206 nanodomains possess 90% greater area and 42% lower interdomain separation relative to non-contact regions. Contact site CTL clusters appear as disk-shaped domains of approximately 150-175 nm in diameter. The increase in length scale of CTL nanostructure in contact sites suggests that the smaller nanodomains on resting membranes may merge during fungal recognition, or that they become packed closely enough to achieve sub-resolution inter-domain edge separations of <30 nm. This study provides evidence of local receptor spatial rearrangements on the nanoscale that occur in the plasma membrane upon pathogen binding and may direct important signaling interactions required to recognize and respond to the presence of a relatively large pathogen.
Collapse
Affiliation(s)
- Michelle S. Itano
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Matthew S. Graus
- Department of Pathology, Spatiotemporal Modeling Center, University of New Mexico, Albuquerque, NM, USA
| | - Carolyn Pehlke
- Spatiotemporal Modeling Center, University of New Mexico, Albuquerque, NM, USA
| | - Michael J. Wester
- Department of Mathematics and Statistics, Spatiotemporal Modeling Center, University of New Mexico, Albuquerque, NM, USA
| | - Ping Liu
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Keith A. Lidke
- Department of Physics, Spatiotemporal Modeling Center, University of New Mexico, Albuquerque, NM, USA
| | - Nancy L. Thompson
- Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ken Jacobson
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Aaron K. Neumann
- Department of Pathology, Spatiotemporal Modeling Center, University of New Mexico, Albuquerque, NM, USA
| |
Collapse
|
14
|
Graus MS, Pehlke C, Wester MJ, Davidson LB, Steinberg SL, Neumann AK. A new tool to quantify receptor recruitment to cell contact sites during host-pathogen interaction. PLoS Comput Biol 2014; 10:e1003639. [PMID: 24874253 PMCID: PMC4038466 DOI: 10.1371/journal.pcbi.1003639] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2013] [Accepted: 04/08/2014] [Indexed: 11/18/2022] Open
Abstract
To understand the process of innate immune fungal recognition, we developed computational tools for the rigorous quantification and comparison of receptor recruitment and distribution at cell-cell contact sites. We used these tools to quantify pattern recognition receptor spatiotemporal distributions in contacts between primary human dendritic cells and the fungal pathogens C. albicans, C. parapsilosis and the environmental yeast S. cerevisiae, imaged using 3D multichannel laser scanning confocal microscopy. The detailed quantitative analysis of contact sites shows that, despite considerable biochemical similarity in the composition and structure of these species' cell walls, the receptor spatiotemporal distribution in host-microbe contact sites varies significantly between these yeasts. Our findings suggest a model where innate immune cells discriminate fungal microorganisms based on differential mobilization and coordination of receptor networks. Our analysis methods are also broadly applicable to a range of cell-cell interactions central to many biological problems.
Collapse
Affiliation(s)
- Matthew S. Graus
- Department of Pathology, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Carolyn Pehlke
- Center for Spatiotemporal Modeling of Cell Signaling, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Michael J. Wester
- Center for Spatiotemporal Modeling of Cell Signaling and Department of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Lisa B. Davidson
- Department of Pathology, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Stanly L. Steinberg
- Center for Spatiotemporal Modeling of Cell Signaling and Department of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Aaron K. Neumann
- Department of Pathology, University of New Mexico, Albuquerque, New Mexico, United States of America
| |
Collapse
|